mlsanityData to 7 Oct 2026

Branching Narratives: Character Decision Points Detection

arXiv 2405.07282 ↗First posted 12 May 2024cs.CLcited by 1

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Abstract (arXiv)

This paper presents the Character Decision Points Detection (CHADPOD) task, a task of identification of points within narratives where characters make decisions that may significantly influence the story's direction. We propose a novel dataset based on CYOA-like games graphs to be used as a benchmark for such a task. We provide a comparative analysis of different models' performance on this task, including a couple of LLMs and several MLMs as baselines, achieving up to 89% accuracy. This underscores the complexity of narrative analysis, showing the challenges associated with understanding character-driven story dynamics. Additionally, we show how such a model can be applied to the existing text to produce linear segments divided by potential branching points, demonstrating the practical application of our findings in narrative analysis.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 15 of its 26 references that are in the map. First posted on arXiv 12 May 2024.

Builds on

15 of 26 references.

References · 15

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,772
  3. 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,157
  4. 2023Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmarkcited by 174
  5. 2019Strategies for Structuring Story Generationcited by 124
  6. 2018Text Segmentation as a Supervised Learning Taskcited by 76
  7. 2019Movie Plot Analysis via Turning Point Identificationcited by 33
  8. 2023Experimental Narratives: A Comparison of Human Crowdsourced Storytelling and AI Storytellingcited by 26
  9. 2018MPST: A Corpus of Movie Plot Synopses with Tagscited by 11
  10. 2023Dialogue Shaping: Empowering Agents through NPC Interactioncited by 8
  11. 2024Procedural Adherence and Interpretability Through Neuro-Symbolic Generative Agentscited by 5
  12. 2021DYPLODOC: Dynamic Plots for Document Classificationcited by 4
3 more
  1. 2022What is Wrong with Language Models that Can Not Tell a Story?cited by 4
  2. 2023Automated Action Model Acquisition from Narrative Textscited by 3
  3. 2021Actionable Entities Recognition Benchmark for Interactive Fictioncited by 2

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